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Artext is a work on injecting noise into text without affecting the core meaning for a human reader. This kind of data can be useful for many NLP tasks, particulary to make models robust to erroneous text. This is a work in progress, and we will publish the results of our experiments soon. Meanwhile, if you use artext in your research please cite this repository.
Github: https://github.com/nlpcl-lab/artext
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Natural Language Processing (NLP)Follow artext
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